Byung-Jun Yoon
10 papers · 2021–2025 · 8 venues · across top CS/AI venues
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Achievements
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๐ฃ Hot Topic Early Bird ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐บ๏ธ Taxonomy Completionist (33) ๐ Grand Slam
๐๏ธ
Keyword Collector
(60)
๐
Century Club ยท Bronze
๐
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(6)
Learning Types
(6)
Deep Learning
(5)
Optimization & Theory
(4)
Architectures
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Application Areas
(2)
Optimization
(2)
Resources & Methods
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Keywords
acquisition function
(3)
expected loss reduction
(2)
uncertainty quantification
(2)
link prediction
(1)
knowledge extraction
(1)
information extraction
(1)
predictive modeling
(1)
remote sensing
(1)
knowledge graph
(1)
gaussian process
(1)
gene regulation
(1)
bayesian active learning
(1)
object counting
(1)
gaussian process classification
(1)
multi-objective optimization
(1)
semantic network
(1)
label efficiency
(1)
implicit neural representation
(1)
quantum computing
(1)
bayesian learning
(1)
Papers
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
COLING 2025
Pareto Prompt Optimization
ICLR 2025
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
ICML 2024
Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity
UAI 2024
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting
AISTATS 2024
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges
ACL 2023
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
AISTATS 2021
Efficient Active Learning for Gaussian Process Classification by Error Reduction
NeurIPS 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
AAAI 2021
Uncertainty-aware Active Learning for Optimal Bayesian Classifier
ICLR 2021